Instructions to use lmikaelyan/Cosmos3-Nano-FP8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lmikaelyan/Cosmos3-Nano-FP8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lmikaelyan/Cosmos3-Nano-FP8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eba19b0c759dbf2d4dd2566e26492863255f40b85b7fb06b91dc0fc78779037a
- Size of remote file:
- 16.5 GB
- SHA256:
- 8f32cf446773943853128ff2f16aac4fafe33326b71790646d1b1fb68fe5c5cf
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